SlideShare a Scribd company logo
elixir-europe.org
Peter McQuilton, PhD
FAIRsharing: more than a registry
@drosophilic / @fairsharing_org
COMMUNITY STANDARDS
for data, metadata and identifier schema
DATABASES
Knowledgebases and
repositories
DATA POLICIES
by funders, journals and
other organizations
Curated inter-linked
descriptions
Is an informative and educational resource
Guides consumers to discover, select and use these
resources with confidence
Helps producers to make their resources more visible, more
widely adopted and cited
FAIRsharing enables the FAIR principles
Ensures that standards, databases, repositories, policies are:
• Findable, e.g., by providing DOIs and marking up records in schema.org,
allowing users to register, claim, maintain, interlink, classify, search and
discover them
• Accessible, e.g., identifying their level of openness and/or license type
• Interoperable, e.g., highlighting which repositories implement the same
standards to structure and exchange data
• Reusable, e.g., knowing the coverage of a standard and its level of
endorsement by a number of repositories should encourage its use or
extension in neighboring domains, rather than reinvention
10.1038/s41587-019-0080-8
Researchers in
academia, industry,
government
Developers and
curators of resources
Journal publishers or
organizations with data
policy
Research data
facilitators, librarians,
trainers
Learned societies,
unions and
associations
Funders and data
policy makers
A flagship output of the:
Recommended by
funders, e.g.:
To find out more….
https://fairsharing.org
/communities
&
, and more
• ELIXIR RIR since 2018
• ELIXIR UK resource
• Content provider for the ELIXIR DSW, FAIR evaluator and
DMP online tools
• Essential resource for the RDA Maturity Indicator
guidelines
• Created a collaborative network with major publishers and
journals
• Open to further relevant collaborations
A FAIRsharing metadata record
Collections of resources
“The interactive browser will allow us to discover which
databases and standards are not currently included in our
author guidelines, enabling us to regularly monitor and
refine our policies as appropriate, in support of our
mission to help our authors enhance the reproducibility of
their work.”
H. Murray. Publishing Editor,
F1000Research
• Collections group together one
or more types of resources by
project or organisation.
• Examples include:
• ELIXIR CDRs and DDDs
• EuroBioImaging
• CDISC
• Recommendations from policies
• PLOS
• Springer Nature
• Elsevier
Example Collection: ELIXIR CDR & DDD
Powering the FAIR ecosystem #1
FAIRsharing content powers 2 (semi)automatic evaluation tools:
https://doi.org/10.1101/657676
https://doi.org/10.1038/s41597-019-0184-5
To find out more…
http://w3id.org/AmIFAIR
https://www.fairshake.cloud
Powering the FAIR ecosystem #2
Integration planned for
summer/autumn 2020
To find out more….
https://fairsharing.org/communities
Defining criteria for data repository selection
We propose a set of criteria that journals
and publishers believe are important for the
identification and selection of data
repositories, which can be recommended to
researchers when they are preparing to
publish the data underlying their findings.
Data Repository Selection: Criteria That Matter
Pre-print:
https://osf.io/m2bce
Started Jan 2018
Aims
1. Guide journals and publishers to provide consistent
recommendations on data deposition to authors
2. Reduce potential for confusion as to what features make
a good repository
3. Inform data repository developers and managers of
the features understood to be important by journals and
publishers
4. Appraise certification and other evaluation initiatives
and provide comparisons
5. Drive curation in FAIRsharing, to enable the display,
filtering and searching of repositories based on these
criteria
Started Jan 2018
Data Repository Selection: Criteria That Matter
Final publication Autumn 2020
https://osf.io/m2bce
@ELIXIREurope
/company/elixir-europe
Thank-you
contact@fairsharing.org
@fairsharing_org
@drosophilic

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FAIRsharing: more than a registry

  • 1. elixir-europe.org Peter McQuilton, PhD FAIRsharing: more than a registry @drosophilic / @fairsharing_org
  • 2. COMMUNITY STANDARDS for data, metadata and identifier schema DATABASES Knowledgebases and repositories DATA POLICIES by funders, journals and other organizations Curated inter-linked descriptions Is an informative and educational resource Guides consumers to discover, select and use these resources with confidence Helps producers to make their resources more visible, more widely adopted and cited
  • 3. FAIRsharing enables the FAIR principles Ensures that standards, databases, repositories, policies are: • Findable, e.g., by providing DOIs and marking up records in schema.org, allowing users to register, claim, maintain, interlink, classify, search and discover them • Accessible, e.g., identifying their level of openness and/or license type • Interoperable, e.g., highlighting which repositories implement the same standards to structure and exchange data • Reusable, e.g., knowing the coverage of a standard and its level of endorsement by a number of repositories should encourage its use or extension in neighboring domains, rather than reinvention 10.1038/s41587-019-0080-8
  • 4. Researchers in academia, industry, government Developers and curators of resources Journal publishers or organizations with data policy Research data facilitators, librarians, trainers Learned societies, unions and associations Funders and data policy makers A flagship output of the: Recommended by funders, e.g.: To find out more…. https://fairsharing.org /communities &
  • 5. , and more • ELIXIR RIR since 2018 • ELIXIR UK resource • Content provider for the ELIXIR DSW, FAIR evaluator and DMP online tools • Essential resource for the RDA Maturity Indicator guidelines • Created a collaborative network with major publishers and journals • Open to further relevant collaborations
  • 7. Collections of resources “The interactive browser will allow us to discover which databases and standards are not currently included in our author guidelines, enabling us to regularly monitor and refine our policies as appropriate, in support of our mission to help our authors enhance the reproducibility of their work.” H. Murray. Publishing Editor, F1000Research • Collections group together one or more types of resources by project or organisation. • Examples include: • ELIXIR CDRs and DDDs • EuroBioImaging • CDISC • Recommendations from policies • PLOS • Springer Nature • Elsevier
  • 9. Powering the FAIR ecosystem #1 FAIRsharing content powers 2 (semi)automatic evaluation tools: https://doi.org/10.1101/657676 https://doi.org/10.1038/s41597-019-0184-5 To find out more… http://w3id.org/AmIFAIR https://www.fairshake.cloud
  • 10. Powering the FAIR ecosystem #2 Integration planned for summer/autumn 2020
  • 11. To find out more…. https://fairsharing.org/communities
  • 12. Defining criteria for data repository selection We propose a set of criteria that journals and publishers believe are important for the identification and selection of data repositories, which can be recommended to researchers when they are preparing to publish the data underlying their findings. Data Repository Selection: Criteria That Matter Pre-print: https://osf.io/m2bce Started Jan 2018
  • 13. Aims 1. Guide journals and publishers to provide consistent recommendations on data deposition to authors 2. Reduce potential for confusion as to what features make a good repository 3. Inform data repository developers and managers of the features understood to be important by journals and publishers 4. Appraise certification and other evaluation initiatives and provide comparisons 5. Drive curation in FAIRsharing, to enable the display, filtering and searching of repositories based on these criteria Started Jan 2018 Data Repository Selection: Criteria That Matter Final publication Autumn 2020 https://osf.io/m2bce